Hello, I'm
Jugal Pumbhadia
Computer Science Graduate & Software Developer
I enjoy solving technical challenges and making systems work better and faster.
<me/>About Me
Get to know more about my background and passion for computer science
Education
Master of Science in Computer Science
New York University - Tandon School of Engineering, 2023-2025
Bachelor of Engineering in Computer Engineering
Gujarat Technological University - Vishwakarma Government Engineering College, 2017-2021
My Story
Hi, I'm Jugal Pumbhadia, a software engineer and master's student in Computer Science at NYU. My journey in tech has been a fascinating blend of exploration and innovation, with experiences spanning web development, mobile applications and data analytics. I'm passionate about leveraging technology to tackle pressing issues in Environment, Social & Governance (ESG), Climate Change and Urban Planning.
My expertise includes software development, machine learning, AWS, NLP, LLMs and big data engineering. I thrive in collaborative environments where teamwork and stakeholder engagement are key. As a curious and proactive learner, I actively explore emerging tools and technologies both within and beyond my field. This curiosity drives me to stay updated with the latest advancements in tech.
As I look to the future, my dream is to apply these concepts to the geospatial domain, where I hope to make a meaningful impact. Although I'm just beginning this journey, I'm excited about the potential to merge technology with spatial insights to solve real-world problems. On this website, I'll share my projects, learnings and adventures as I navigate the intersection of technology and geospatial innovation.
My Skills
A comprehensive overview of my technical expertise and proficiencies
Programming Languages
Web Development
Mobile Application Development
Backend and APIs
Cloud and DevOps
AI, ML and Data Science
Databases and Storage
Data Analytics and Visualization
Featured Projects
A selection of my recent work and personal projects
Energy Consumption Analysis in NYC
Data-driven project using regression and advanced machine learning to analyze NYC's energy usage and temperature, guiding urban climate management.
Mapping the World's Catastrophes
A data-driven disaster analysis tool using Tableau to reveal global calamity patterns with interactive maps, tree maps, and time-based exploration.
Work Experience
My professional journey and work experience
Data Analyst - Data Visualization & Storytelling (Teaching Assistant)
New York University
September 2024 - March 2025
- Delivered instruction to 40+ non-technical stakeholders on Tableau and Excel for data visualization, dashboard creation, and BI best practices, focusing on user-centered design and interactive reporting.
- Led hands-on labs on data extraction, cleaning, and exploratory analysis using structured datasets, enabling participants to generate actionable insights from raw business metrics.
- Designed and optimized dashboards that visualized KPIs, trends, and performance metrics to support decision-making across public policy and organizational contexts.
- Collaborated on curriculum development covering BI fundamentals, data storytelling, visual cognition, and effective use of filters, hierarchies, and calculated fields.
Data Scientist - VIP Mergers & Acquisition Outcome Prediction (Course Assistant)
New York University
January 2024 - December 2024
- Built a transformer-based RAG pipeline using HuggingFace, LangChain, and ChromaDB to retrieve contextual insights from financial texts, boosting QA accuracy by 15%; applied prompt engineering, sentiment analysis, and LoRA-based LLM fine-tuning for metadata extraction and summarization.
- Designed GenAI workflows to optimize document reranking, NER tagging, and generative responses for complex financial scenarios, enhancing output relevance and interpretability.
- Developed automated ETL pipelines to ingest and preprocess 150K+ M&A records using Python, Pandas, and RegEx; structured data for downstream ML tasks.
- Constructed graph-based firm relationship models using NetworkX and trained Graph Neural Networks (GNNs) in PyTorch to predict deal outcomes and valuation trends.
Software Engineer
Geaux Network
June 2024 - August 2024
- Engineered scalable, modular React Native components using TypeScript, Expo Router, Context API, and custom hooks, boosting development velocity by 25% while improving code maintainability.
- Translated Figma designs into responsive, pixel-perfect UI screens leveraging Flexbox and StyleSheet APIs, enhancing UX consistency and reducing frontend rework by 40%.
- Integrated Firebase Authentication and Firestore with custom error handling and asynchronous flows, significantly improving session reliability and eliminating auth-related bugs during QA cycles.
- Championed test-driven development with Jest, React Native Testing Library, and GitHub Actions pipelines, increasing unit test coverage to 85% and accelerating CI/CD feedback loops.
Software Engineer
Fascinate Infotech
January 2021 - June 2023
- Architected and delivered full-stack web and mobile applications using the MERN stack and React Native, successfully launching 8+ projects with responsive UI and RESTful API integration.
- Developed frontend state management solutions with Redux, Context API, and React Navigation, introducing custom middleware for asynchronous workflows to improve UI scalability and streamline developer onboarding.
- Leveraged Firebase services including Firestore, Realtime Database, Cloud Functions, and FCM to enable real-time notifications, offline data sync, and event-driven serverless functionality across multiple production apps.
- Optimized DevOps practices by automating builds, tests, and deployments through GitHub Actions and Firebase Hosting with Docker containerization, slashing release cycles by 80%. Mentored two junior developers and led daily Agile standups.
Get In Touch
Have a question or want to work together? Feel free to contact me!